Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), 08908 L'Hospitalet del Llobregat, Barcelona, Spain.
ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), 08908 L'Hospitalet de Llobregat, Barcelona, Spain.
Nutrients. 2024 Sep 16;16(18):3131. doi: 10.3390/nu16183131.
(1) Introduction: The global rise of gastrointestinal diseases, including colorectal cancer and inflammatory bowel diseases, highlights the need to understand their causes. Diet is a common risk factor and a crucial regulator of gene expression, with alterations observed in both conditions. This study aims to elucidate the specific biological mechanisms through which diet influences the risk of bowel diseases. (2) Methods: We analyzed data from 436 participants from the BarcUVa-Seq population-based cross-sectional study utilizing gene expression profiles (RNA-Seq) from frozen colonic mucosal biopsies and dietary information from a semi-quantitative food frequency questionnaire. Dietary variables were evaluated based on two dietary patterns and as individual variables. Differential expression gene (DEG) analysis was performed for each dietary factor using edgeR. Protein-protein interaction (PPI) analysis was conducted with STRINGdb v11 for food groups with more than 10 statistically significant DEGs, followed by Reactome-based enrichment analysis for the resulting networks. (3) Results: Our findings reveal that food intake, specifically the consumption of blue fish, alcohol, and potatoes, significantly influences gene expression in the colon of individuals without tumor pathology, particularly in pathways related to DNA repair, immune system function, and protein glycosylation. (4) Discussion: These results demonstrate how these dietary components may influence human metabolic processes and affect the risk of bowel diseases.
(1) 引言:全球范围内胃肠道疾病(包括结直肠癌和炎症性肠病)的发病率不断上升,这凸显了人们对其病因的认识需求。饮食是常见的风险因素,也是基因表达的重要调节剂,在这两种疾病中都观察到了基因表达的改变。本研究旨在阐明饮食影响肠道疾病风险的具体生物学机制。 (2) 方法:我们利用基于人群的 BarcUVa-Seq 横断面研究中 436 名参与者的基因表达谱(RNA-Seq)和半定量食物频率问卷中的饮食信息进行分析。根据两种饮食模式和个体变量评估饮食变量。使用 edgeR 对每个饮食因素进行差异表达基因(DEG)分析。对于具有超过 10 个具有统计学意义的 DEG 的食物组,使用 STRINGdb v11 进行蛋白质-蛋白质相互作用(PPI)分析,然后对生成的网络进行基于 Reactome 的富集分析。 (3) 结果:我们的研究结果表明,食物摄入,特别是蓝色鱼类、酒精和土豆的摄入,显著影响无肿瘤病理个体结肠中的基因表达,特别是与 DNA 修复、免疫系统功能和蛋白质糖基化相关的途径。 (4) 讨论:这些结果表明这些饮食成分如何影响人体代谢过程并影响肠道疾病的风险。
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